分类学(生物学)
背景(考古学)
服务学习
人工智能
2019年冠状病毒病(COVID-19)
心理学
人类智力
知识管理
计算机科学
社会学
认知科学
教育学
医学
古生物学
植物
疾病
病理
传染病(医学专业)
生物
作者
Cristina Mele,Marialuisa Marzullo,Swapnil Morandé,Tiziana Russo Spena
出处
期刊:Service science
[Institute for Operations Research and the Management Sciences]
日期:2022-06-01
卷期号:14 (2): 77-89
被引量:14
标识
DOI:10.1287/serv.2021.0289
摘要
This paper widens the focus on how artificial intelligence (AI) can foster the learning abilities of human actors, adopting a wider view with respect to a strict focus on tasks and activities. The interaction between AI and human learning has not been investigated in service research. Placing its theoretical roots in work by Huang and Rust [Huang MH, Rust RT (2021) Engaged to a robot? The role of AI in service. J. Service Res. 24(1):30–41.] in service research and on Bloom’s revised taxonomy in education studies [Anderson LW, Krathwohl DR, Airasian PW, Cruikshank KA, Mayer RE, Pintrich PR, Raths J, Wittrock MC (2001) A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives (Longman, London).], this study offers an integrative framework for the ways AI enhances human learning abilities. Some cases in the context of COVID-19 offer insightful illustrations of the framework.
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